提高专业能力的书单

Code Complete (2nd edition) by Steve McConnell
The Pragmatic Programmer
Structure and Interpretation of Computer Programs
The C Programming Language by Kernighan and Ritchie
Introduction to Algorithms by Cormen, Leiserson, Rivest & Stein
Design Patterns by the Gang of Four
Refactoring: Improving the Design of Existing Code
The Mythical Man Month
The Art of Computer Programming by Donald Knuth
Compilers: Principles, Techniques and Tools by Alfred V. Aho, Ravi Sethi and Jeffrey D. Ullman
Gödel, Escher, Bach by Douglas Hofstadter
Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin
Effective C++
More Effective C++
CODE by Charles Petzold
Programming Pearls by Jon Bentley
Working Effectively with Legacy Code by Michael C. Feathers
Peopleware by Demarco and Lister
Coders at Work by Peter Seibel
Surely You're Joking, Mr. Feynman!
Effective Java 2nd edition
Patterns of Enterprise Application Architecture by Martin Fowler
The Little Schemer
The Seasoned Schemer
Why's (Poignant) Guide to Ruby
The Inmates Are Running The Asylum: Why High Tech Products Drive Us Crazy and How to Restore the Sanity
The Art of Unix Programming
Test-Driven Development: By Example by Kent Beck
Practices of an Agile Developer
Don't Make Me Think
Agile Software Development, Principles, Patterns, and Practices by Robert C. Martin
Domain Driven Designs by Eric Evans
The Design of Everyday Things by Donald Norman
Modern C++ Design by Andrei Alexandrescu
Best Software Writing I by Joel Spolsky
The Practice of Programming by Kernighan and Pike
Pragmatic Thinking and Learning: Refactor Your Wetware by Andy Hunt
Software Estimation: Demystifying the Black Art by Steve McConnel
The Passionate Programmer (My Job Went To India) by Chad Fowler
Hackers: Heroes of the Computer Revolution
Algorithms + Data Structures = Programs
Writing Solid Code
JavaScript - The Good Parts
Getting Real by 37 Signals
Foundations of Programming by Karl Seguin
Computer Graphics: Principles and Practice in C (2nd Edition)
Thinking in Java by Bruce Eckel
The Elements of Computing Systems
Refactoring to Patterns by Joshua Kerievsky
Modern Operating Systems by Andrew S. Tanenbaum
The Annotated Turing
Things That Make Us Smart by Donald Norman
The Timeless Way of Building by Christopher Alexander
The Deadline: A Novel About Project Management by Tom DeMarco
The C++ Programming Language (3rd edition) by Stroustrup
Patterns of Enterprise Application Architecture
Computer Systems - A Programmer's Perspective
Agile Principles, Patterns, and Practices in C# by Robert C. Martin
Growing Object-Oriented Software, Guided by Tests
Framework Design Guidelines by Brad Abrams
Object Thinking by Dr. David West
Advanced Programming in the UNIX Environment by W. Richard Stevens
Hackers and Painters: Big Ideas from the Computer Age
The Soul of a New Machine by Tracy Kidder
CLR via C# by Jeffrey Richter
The Timeless Way of Building by Christopher Alexander
Design Patterns in C# by Steve Metsker
Alice in Wonderland by Lewis Carol
Zen and the Art of Motorcycle Maintenance by Robert M. Pirsig
About Face - The Essentials of Interaction Design
Here Comes Everybody: The Power of Organizing Without Organizations by Clay Shirky
The Tao of Programming
Computational Beauty of Nature
Writing Solid Code by Steve Maguire
Philip and Alex's Guide to Web Publishing
Object-Oriented Analysis and Design with Applications by Grady Booch
Effective Java by Joshua Bloch
Computability by N. J. Cutland
Masterminds of Programming
The Tao Te Ching
The Productive Programmer
The Art of Deception by Kevin Mitnick
The Career Programmer: Guerilla Tactics for an Imperfect World by Christopher Duncan
Paradigms of Artificial Intelligence Programming: Case studies in Common Lisp
Masters of Doom
Pragmatic Unit Testing in C# with NUnit by Andy Hunt and Dave Thomas with Matt Hargett
How To Solve It by George Polya
The Alchemist by Paulo Coelho
Smalltalk-80: The Language and its Implementation
Writing Secure Code (2nd Edition) by Michael Howard
Introduction to Functional Programming by Philip Wadler and Richard Bird
No Bugs! by David Thielen
Rework by Jason Freid and DHH
JUnit in Action

Start by carving out 20% of your time to devote to your own skills development. If possible, it'll be better if that 20% comes from one or two hours a day rather than a day a week because you can then make a daily habit out of improving your skills. Your productivity may decrease initially (or it might not change much if you're replacing web surfing or other distractions), but the goal is to make investments that will make you more effective in the long run. So what should you do with that 20% time? Since you're at a well-known tech company, you should take advantage of the resources available to you. Here are 10 suggestions: Study code on core abstractions written by the best engineers at the company, and understand why certain choices were made and how they were implemented. For example, if you're at Google, read through code in some of the core libraries written by early engineers like Jeff Dean, Craig Silverstein, or Ben Gomes. Start with ones that you've used before, and ask yourself if you would've written similar code for various parts and how you might learn from their examples. If you're not too efficient on your text editor or IDE, ask some of your more effective co-workers if they'd mind you watching them for a bit while they're coding. Are they using keyboard shortcuts or editor functionality that you're not familiar with but that make them much more efficient? If so, learn and practice them. Search for productivity tips on Google for whatever development environment you use. When I was first learning Emacs, for example, Steve Yegge's very good 10 Specific Ways to Improve Your Productivity With Emacs made me noticeably more efficient. Even in re-reading parts of that page for this answer, I've learned something new. Read through any technical, educational material available internally. Google, for instance, has a wide array of codelabs that teach core abstractions and high-quality guides of best practices that veteran engineers have written for various languages based on decades of experience. If your company doesn't have similar resources, Google's open sourced some of their guides: https://code.google.com/p/google.... Master the programming language(s) that you use. Read a good book or two on the languages. Focus on developing a solid grasp of the advanced concepts in that language, and gain familiarity with core, language libraries. Make sure that at least one of your languages is a scripting language (e.g. Python) that you can use as your Swiss army knife for quick tasks. Send your code reviews to the harshest critics. Optimize for getting good, thoughtful feedback rather than for lowering the barrier to getting your work checked in. Ask for a more detailed review on implementations that you're not too confident about. Enroll in classes in areas you want to be stronger at. These could be ones offered on the company campus, on nearby university campuses, or online. Many of the larger tech companies will even pay for your classes. If you want to get better at programming, take more hands-on classes on topics like design patterns or on some programming language. Build a good reading list of technical books, and start reading. Your company may even reimburse you. Here's a start: What is the single most influential book every programmer should read? Work on different types of projects, and use them as learning opportunities. If you find yourself always doing similar tasks using similar methods, it's going to be hard to get out of your comfort zone and to pick up new skills. Make sure you're on a team with at least a few senior engineers that you feel like you can learn from. If you're not, consider changing projects or teams. This'll help increase your learning rate for the remaining 80% of your time. Write more code. If you feel like programming is your weak point, spend more of your time on building and writing code since you won't get better unless you practice the craft. To the extent that you can, shift time away from other engineering-related duties like managing projects, fixing bugs, attending meetings, designing products, etc. Good luck!